Biological Networks

Biological Networks is a class of graph-based representations of biological systems in which nodes denote biomolecular, cellular, organismal or ecological entities and edges denote their physical, regulatory or functional interactions, thereby enabling quantitative analysis of the structure, dynamics and evolution of those systems.

4.6K

Publications

407K

Citations

11.3K

Authors

2.9K

Institutions

Publications per year

2017–2026

1.2K

Authors

11.3K

  1. NP
    Nataša Pržulj

    Imperial College London, United Kingdom

    29 publications · 4.8K citations

    27

    h-index

  2. FW
    Fang‐Xiang Wu

    University of Saskatchewan, Canada

    34 publications · 1.4K citations

    22

    h-index

  3. SK
    Stuart Kauffman

    Institute for Systems Biology, United States

    27 publications · 4.2K citations

    21

    h-index

  4. RA
    Réka Albert

    Pennsylvania State University, United States

    23 publications · 5.3K citations

    20

    h-index

  5. SM
    Satoru Miyano

    The University of Tokyo, Japan

    27 publications · 2.5K citations

    20

    h-index

1–5 of 11.3K

Venues

  1. Bioinformatics

    300 publications · 37.3K citations

    88

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 91 publications · 29.4K citations

    67

    h-index

  3. BMC Bioinformatics

    197 publications · 12.7K citations

    58

    h-index

  4. PLoS ONE

    165 publications · 8.3K citations

    49

    h-index

  5. Physical Review E

    PRE · 114 publications · 12.1K citations

    44

    h-index

1–5